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Imagine you are designing an observational study to measure 'optimistic explanatory style' in college students who just received a failing grade on a mid-term exam. Based on the provided definition, describe how you would operationalize this variable. What specific types of statements or survey responses would you code as representing an optimistic explanatory style?

Question: Imagine you are designing an observational study to measure 'optimistic explanatory style' in college students who just received a failing grade on a mid-term exam. Based on the provided definition, describe how you would operationalize this variable. What specific types of statements or survey responses would you code as representing an optimistic explanatory style?

Sample answer: I would operationalize an optimistic explanatory style by coding students' verbal or written explanations for their failed exam based on two criteria: external attribution and short-term expectation. Specifically, I would look for statements where the student blames outside forces (e.g., 'The test was unfairly difficult' or 'The room was too noisy') rather than personal faults (e.g., 'I am not smart enough'). Additionally, I would code for expectations that the failure's consequences are limited and short-term (e.g., 'This is just one bad grade; it will not ruin my semester') rather than permanent or pervasive.

Key points:

  • Operationalize the variable by coding responses to the negative event.
  • Include criteria for attributing the failure to outside forces rather than personal faults.
  • Include criteria for expecting the negative occurrence to have limited, short-term consequences.

Rubric: Points are awarded for explicitly linking the operational definition to both external attribution and the expectation of limited, short-term consequences, as defined in the provided text.

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Updated 2026-05-27

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Research Methods in Psychology - 4th American Edition @ KPU

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